Statistical Data Analyst - Office of Medical Student Education - 47420

Washington University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin, genetic information, disability, or protected veteran status.

This position is full-time and works approximately 40 hours per week. 

This position is in the Office of Medical Student Education.  This position is for the Medical School Campus.

POSITION SUMMARY:

In collaboration with the Program Evaluation and Continuous Quality Improvement Unit (PE/CQI) and based on the needs of the Office of Education (OE), this role has primary responsibility for building and cleaning quantitative data sets and conducting data analyses on all quantitative program evaluation and continuous quality improvement data to inform Medical Education and support accreditation. This role is responsible for the creation of reports and presentations using data visualization software, such as Tableau, using both qualitative and quantitative data. Participates in qualitative data collection events, unit meetings, and fulfills data requests that align with role responsibilities.  The role requires initiative, innovation, extreme attention to detail, and a team-oriented continuous quality improvement mindset. 

PRIMARY DUTIES AND RESPONSIBILITIES:

1. Quantitative & Qualitative Data Management:  Creates a routine and standardized process for the collection, management, and cleaning of quantitative and qualitative data in preparation for analysis to meet program evaluation needs, data requests, department, and unit reports.  In conjunction with Associate Dean and Director for PECQI, this role is responsible for the creation of data collection instruments (e.g., surveys) that align with the institution and external accrediting body requirements. Collaborates with campus partners and uses the latest and best methods/software available.   
2. Data Analysis and Visualization:  Performs statistical analyses such as frequencies, bivariate, and multivariate logistic regression.  Performs qualitative data analysis and prepares these data for presentation through appropriate data visualization (e.g., word clouds).   As necessary, role explains, presents, and assists colleagues in understanding and applying data sets to their work.  Functions as a statistical advisor to the PE/CQI team, the Office of Education, and others seeking program evaluation assistance in their education PE/CQI projects.  In consultation with PE/CQI team, creates written reports and presentations for use by the PE/CQI team for disseminating findings and driving informed processes.    
3. Data Requests: Completes data requests for OE partners.  During unit meetings, discusses and creates action items for requests, completes assigned tasks, and provides routine updates in project management software.   
4. Other duties: Collaborates on strategic planning for the PE/CQI office and annual retreats; participates in the Office of Education’s initiatives as appropriate and contributes to the greater WUSM mission. Performs other duties as assigned.

• Equivalent of Bachelor’s degree in a relevant field (such as, Math, Statistics, Computer Science or Epidemiology). 
• Experience and proficiency with data analysis and data management utilizing statistical packages utilized by department/s.

• Master’s degree in statistics, computer science, biostatistics, psychology, or related field with relevant experience.  
• Three - five years of related experience with data analysis, program evaluation, biostatistics. 
• Intermediate to advanced data visualization skills. 
• Familiarity with data visualization software such as Tableau.
• High level of knowledge of database systems (at minimum Excel and SPSS).
• A high degree of proficiency in data analysis and data management.
• Skills and demonstrated success in designing and executing appropriate statistical data analysis.
• Experience with data visualization software, designing project reports, and presentations using PowerPoint-type software.
• Experience with quality improvement concepts.
• Innovative and continuous quality improvement mindset.
• Ability to foster strong working relationships throughout the educational system.
• Meticulous attention to detail.
• Excellent organizational and communication skills, both verbal and written.
• Ability to manage multiple projects at various phases simultaneously.
• Superb initiative, drive, and attitude.
• Ability to prioritize and manage multiple activities, deadlines and deliverables simultaneously.
• Ability to work independently and also to be a cooperative and effective team member.

The hiring range for this position is $47,986 - $61,194 annually.

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. Current employees applying for a new position within the university may be subject to this requirement. The screenings will include a criminal background check and, as applicable for the position, other background checks, drug screen, employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

This position is eligible for full-time benefits.  Please click the following link to view a summary of benefits:  https://wustl.box.com/s/8wkhs25yssf0775x9d6nd6vqa7obpth7.

This position is grade G10.

Please attach a copy of your most current signed performance evaluation (completed within the last 18 months) to your online account.  If you have not received a performance evaluation, you may provide two current signed letters of recommendation (written within the last 18 months), preferably to include one letter from either a current or recent former supervisor.  To attach these documents, go to:  My Career Tools, Add Attachment, Attachment Type – Performance Reviews or Letters of Recommendation.

Interested applicants should submit a cover letter with their application.